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» Expressive AI: Games and Artificial Intelligence
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AI
2004
Springer
13 years 7 months ago
On the computational complexity of qualitative coalitional games
We study coalitional games in which agents are each assumed to have a goal to be achieved, and where the characteristic property of a coalition is a set of choices, with each choi...
Michael Wooldridge, Paul E. Dunne
AI
2007
Springer
14 years 1 months ago
Competition and Coordination in Stochastic Games
Agent competition and coordination are two classical and most important tasks in multiagent systems. In recent years, there was a number of learning algorithms proposed to resolve ...
Andriy Burkov, Abdeslam Boularias, Brahim Chaib-dr...
AI
2002
Springer
13 years 7 months ago
Multiagent learning using a variable learning rate
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
Michael H. Bowling, Manuela M. Veloso
AI
2002
Springer
13 years 7 months ago
Parallel Randomized Best-First Minimax Search
We describe a novel parallel randomized search algorithm for two-player games. The algorithm is a randomized version of Korf and Chickering's best-first search. Randomization...
Yaron Shoham, Sivan Toledo
AGENTS
2001
Springer
14 years 6 days ago
It knows what you're going to do: adding anticipation to a Quakebot
The complexity of AI characters in computer games is continually improving; however they still fall short of human players. In this paper we describe an AI bot for the game Quake ...
John E. Laird